Concepedia

Parallel Profiling

Parallel Profiling is a performance analysis technique that identifies and measures computational inefficiencies in parallel programs by monitoring execution characteristics across multiple processing units, distinguished by its focus on exposing concurrency-related overheads such as synchronization, communication, and load imbalance.

170

Publications

8.6K

Citations

563

Authors

181

Institutions

Publications per year

2017–2026

28

Parents

Publications

170

The Paradyn parallel performance measurement tool

Barton P. Miller, Mary Callaghan, Jon Cargille et al. · Computer · 1995 · 828 citations

, , +16

HPCT<scp>OOLKIT</scp>: tools for performance analysis of optimized parallel programs

Laksono Adhianto, Subarno Banerjee, Mike Fagan et al. · Concurrency and Computation Practice and Experience · 2009 · 611 citations

, , +17

Global optimizations for parallelism and locality on scalable parallel machines

Jennifer M. Anderson, Monica S. Lam · 1993 · 340 citations

, , +16

Toward Scalable Performance Visualization with Jumpshot

Omer Zaki, Ewing Lusk, William Gropp et al. · The International Journal of High Performance Computing Applications · 1999 · 227 citations

, , +13

Highly Parallel Profiling of Cas9 Variant Specificity

Jonathan L. Schmid‐Burgk, Linyi Gao, David Li et al. · Molecular Cell · 2020 · 212 citations · Full text

, , +11

1–5 of 170

Authors

563

  1. MS
    Martin Schulz

    Lawrence Livermore National Laboratory, United States

    7 publications · 220 citations

    7

    h-index

  2. FW
    Felix Wolf

    RWTH Aachen University, Germany

    6 publications · 138 citations

    6

    h-index

  3. AD
    Allen D. Malony

    University of Oregon, United States

    5 publications · 338 citations

    5

    h-index

  4. ZW
    Zheng Wang

    University of Leeds, United Kingdom

    5 publications · 592 citations

    5

    h-index

  5. MO
    Michael O’Boyle

    University of Edinburgh, United Kingdom

    5 publications · 592 citations

    5

    h-index

1–5 of 563

Institutions

181

  1. Lawrence Livermore National Laboratory

    Livermore, United States

    8 h-index

    22 publications

    581 citations

  2. University of Edinburgh

    Edinburgh, United Kingdom

    6 h-index

    16 publications

    1.8K citations

  3. University of Rochester

    Rochester, United States

    6 h-index

    17 publications

    1.1K citations

  4. Microsoft (United States)

    Redmond, United States

    6 h-index

    7 publications

    450 citations

  5. German Research School for Simulation Sciences

    Jülich, Germany

    5 h-index

    7 publications

    188 citations

  6. University of Maryland, College Park

    College Park, United States

    5 h-index

    14 publications

    792 citations

  7. Argonne National Laboratory

    Lemont, United States

    5 h-index

    19 publications

    1.5K citations

  8. RWTH Aachen University

    Aachen, Germany

    5 h-index

    9 publications

    152 citations

1–8 of 181

Venues

  1. ACM SIGPLAN Notices

    7 publications · 261 citations

    7

    h-index

  2. ACM Transactions on Architecture and Code Optimization

    TACO · 3 publications · 129 citations

    3

    h-index

  3. IEEE Micro

    2 publications · 39 citations

    2

    h-index

  4. 2

    h-index

  5. Computer

    2 publications · 897 citations

    2

    h-index

1–5